Wen Huang. Webpage: wh18 update: May 2018

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1 Wen Huang Webpage: wh18 update: May 2018 EMPLOYMENT Pfeiffer Post Doctoral Instructor July Present Rice University, Computational and Applied Mathematics (CAAM), USA Post Doctor September June 2016 Université catholique de Louvain, Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Belgium Post Doctor May - August 2014 Florida State University, Scientific Computing, USA Research Assistant, Instructor and Teaching Assistant August May 2014 Florida State University, Mathematics, USA Game Designer for Numerical System July July 2008 G-bits Network Technology Co., Ltd, P.R.China EDUCATION Ph.D., Applied and Computational Mathematics, May 2014 Florida State University, USA, Co-advisor: Kyle A. Gallivan, Co-advisor: Pierre-Antoine Absil Thesis Title: Optimization Algorithms on Riemannian Manifolds with Applications M.S., Applied and Computational Mathematics, August 2011 Florida State University, USA, Advisor: Kyle A. Gallivan B.S., Information and Computing Science, July 2007 University of Science and Technology of China, China Supervisor: Yongliang Pan Thesis Title: Some talks on the number of the main eigenvalues of graphs COMPUTER SKILLS RESEARCH INTERESTS TEACHING EXPERIENCE Languages & Software: C, C++, Matlab, Mathematica, Qt, The Visualization Toolkit. Optimization on Riemannian manifolds and its applications including matrix completion, independent component analysis, synchronization of rotation, registration of curves, Karcher mean of shapes of curves, role model extraction, computations on symmetric positive definite matrices, phase retrieval, and blind deconvolution; signal recovery problems with provable recovery guarantee; phylogenetic diagnostics. Instructor Introduction to Engineering Computation Fall 2017 Instructor Pedagogy for RLAs Fall 2017 Instructor Introduction to Engineering Computation Spring 2017 Teaching assistant Introduction to Engineering Computation Fall 2016 Teaching assistant Stochastic Processes Spring 2016 Teaching assistant Numerical Algorithm Spring 2015

2 Instructor Precalculus Algebra Spring 2011 Teaching assistant Calculus II, College Algebra, Trigonometry, Mathematics for Liberal Arts, Practical Finite Mathematics Fall Fall 2010 and Fall Spring 2014 PAPERS IN REVIEW JOURNAL ARTICLES Wen Huang, Paul Hand. Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold. Xinru Yuan, Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, A Riemannian quasi-newton method for computing the Karcher mean of symmetric positive definite matrices. Sean Martin, Andrew M. Raim, Wen Huang, Kofi P. Adragni. ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian Manifold Optimization. Wen Huang, Pierre-Antoine Absil, Kyle Gallivan, Paul Hand. ROPTLIB: an object-oriented C++ library for optimization on Riemannian manifolds, ACM Transactions on Mathematical Software, Accepted. Somayeh Hosseini, Wen Huang, Roholla Yousefpour. Line Search Algorithms for Locally Lipschitz Functions on Riemannian Manifolds, SIAM Journal on Optimization, 28(1), pp , Wen Huang, Pierre-Antoine Absil, Kyle Gallivan. A Riemannian BFGS Method without Differentiated Retraction for Nonconvex Optimization Problems, SIAM Journal on Optimization, 28(1), pp , Wen Huang, Kyle A. Gallivan, Xiangxiong Zhang. Solving PhaseLift by lowrank Riemannian optimization methods for complex semidefinite constraints, SIAM Journal on Scientific Computing, 39(5), B840-B859, 2017 Jim Wilgenbusch, Wen Huang, Kyle A. Gallivan. Visualizing Phylogenetic Tree Landscapes, BMC Bioinformatics, 18:85, DOI: /s , Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan. Intrinsic Representation of Tangent Vectors and Vector Transport on Matrix Manifolds, Numerische Mathematik, DOI: /s , October, Wen Huang, Guifang Zhou, Melissa Merchand, Jeremy Ash, Paul Van Dooren, Jeremy M. Brown, Kyle A. Gallivan, Jim Wilgenbush. TreeScaper: visualizing and extracting phylogenetic signal from sets of trees, Molecular Biology and Evolution, DOI: /molbev/msw196, September, Guifang Zhou, Wen Huang, Kyle A. Gallivan, Paul Van Dooren, Pierre- Antoine Absil. A Riemannian rank-adaptive method for low-rank optimization, Neurocomputing, 192, 72-80, June Wen Huang, Kyle A. Gallivan, Anuj Srivastava, Pierre-Antoine Absil. Riemannian Optimization for Registration of Curves in Elastic Shape Analysis, Journal of Mathematical Imaging and Vision, 54(3), , Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan. A Broyden Class of Quasi-Newton Methods for Riemannian Optimization, SIAM Journal on Optimization, 25:3, pp , 2015.

3 Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan. A Riemannian symmetric rank-one trust-region method, Mathematical Programming Series A and B, 150:2, pp , CONFERENCE PROCEEDINGS TALKS AND PRESENTATIONS Melissa Marchand, Wen Huang, Arnaud Browet, Paul Van Dooren, Kyle A. Gallivan, A Riemannian Optimization Approach for Role Model Extraction, accepted in The 22st International Symposium on Mathematical Theory of Networks and Systems (MTNS 2016). Wen Huang, Kyle A. Gallivan, Xiangxiong Zhang. Solving PhaseLift by lowrank Riemannian optimization methods, Procedia Computer Science, 80: , Xinru Yuan, Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, A Riemannian Limited-memory BFGS Algorithm for Computing the Matrix Geometric Mean, Procedia Computer Science, 80: , Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, A Riemannian BFGS Method for Nonconvex Optimization Problems, Lecture Notes in Computational Science and Engineering, DOI: / , Yaqing You, Wen Huang, Kyle A. Gallivan, Pierre-Antoine Absil A Riemannian Approach for Computing Geodesics in Elastic Shape Analysis, In Proceeding of the 3rd IEEE Global Conference on Signal and Information Processing (GlobalSIP2015). Wen Huang, Yaqing You, Kyle A. Gallivan, Pierre-Antoine Absil. Karcher Mean in Elastic Shape Analysis, In Proceeding of the 1st International Workshop on DIFFerential Geometry in Computer Vision for Analysis of Shapes, Images and Trajectories (DIFF-CV 2015). Matthieu Genicot, Wen Huang, Nickolay T. Trendafilov, Weakly Correlated Sparse Components with Nearly Orthonormal Loadings, In Proceeding of Geometric Science of Information (GSI2015) Guifang Zhou, Wen Huang, Kyle A. Gallivan, Paul Van Dooren, Pierre- Antoine Absil. Rank-Constrained Optimization: A Riemannian Manifold Approach, In Proceeding of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015). Wen Huang, Kyle A. Gallivan, Anuj Srivastava, Pierre-Antoine Absil. Riemannian Optimization for Elastic Shape Analysis, Short version, In Proceeding of The 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS 2014). SIAM Conference on Applied Linear Algebra, Hong Kong, China, May, 2018 Seminar, Xiamen University, Department of Mathematics, Xiamen, China, April, 2018 Seminar, East China Normal University, Department of Mathematics, Shanghai, China, April, 2018 Seminar, Chinese University of Hong Kong, School of Science and Engineering, Hong Kong, China, April, 2018 Young Talents Workshop in Zhejiang University, School of Mathematical Sciences, Hangzhou, March, 2018 Colloquium, Rice University, Department of Computational and Applied Mathematics, Houston, January, 2018

4 Fudan Science and Innovation Forum, Shanghai, December, 2017 Seminar, Université de Genève, Mathematics department, Geneva, December, 2017 Seminar, Purdue University, West Lafayette, Nov, 2017 Meeting of the International Linear Algebra Society, Ames, USA, July, SIAM Conference on Optimization, Vancouver, Canada, May, International Conference on Computational Science, San Diego, California, US- A, June, Colloquium, The Renmin University of China, Institute for Mathematical Sciences, April, Seminar, Shanghai University, Department of Mathematics, April, Seminar, The Chinese University of Hong Kong (Shenzhen), The School of Science and Engineering, March, The Global Scientist Forum, the South University of Science and Technology of China, Department of Mathematics, March, Colloquium, Zhejiang University of Technology, Department of Mathematics, January, Colloquium, Nanjing University, Department of Mathematics, January, Colloquium, Academy of Mathematics and Systems Science, Chinese Academy of Science, December, Seminar, Huazhong University of Science and Technology, Center for Mathematical Science, December, Poster presentation, Workshop: Differential Geometry in Computer Vision for Analysis of Shapes, Images and Trajectories, Swansea, the United Kingdom, September, European Conference on Numerical Mathematics and Advanced Applications (ENUMATH2015), Ankara, Turkey, September, Poster presentation, Workshop: Low-rank Optimization and Applications, Bonn, Germany, June, Seminar, Unversity of Namur, Namur, Belgium, May, 2015 Research Group on Riemannian and NonSmooth Optimization (RANSO) meeting, Liege, Belgium, May, 2015 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2015), Bruge, Belgium, April, th Benelux Meeting on Systems and Control, Lommel, Belgium, March, Poster presentation, Dynamical Systems, Control, and Optimization (DYSCO) study day, UGent, Belgium, November, Informatics for Phylogenetics, Evolution and Biodiversity (ievobio), Raleigh, NC, June, Poster presentation, Workshop on Advances in Computational Mathematics and Engineering, Tallahassee, FL, September, Poster presentation, Evolution meeting, Portland, OR, June, Poster presentation, Computational Expo, Tallahassee, FL, April, 2010.

5 SOFTWARE Wen Huang, Guifang Zhou, Jeremy Ash, Jeremy Brown, Kyle A. Gallivan, Melissa Marchand, and James C. Wilgenbusch. TreeScaper: software to visualize tree landscapes. Wen Huang, Pierre-Antoine Absil, and Kyle A. Gallivan. Riemannian Manifold Optimization Library. whuang2/roptlib PROFESSIONAL SERVICES Co-supervisor of Florentin Goyens, Quasi-Newton methods for nonsmooth Riemannian optimization, Master s degree in Mathematical Engineering, Université catholique de Louvain. Co-organizer of conference mini-symposium: with Ralf Zimmermann, Matrix Manifolds and Applications, Numerical Mathematics and Advanced Applications, Ankara, Turkey, with Gennadij Heidel, Optimization Methods on Matrix and Tensor Manifolds, SIAM Conference on Applied Linear Algebra, Hong Kong, China, Referee for journals/proceedings: Applied Mathematics Letter Applied Soft Computing Computational Optimization and Applications Geometric Science of Information IEEE Transactions on Image Processing International Symposium on Nonlinear Theory and its Applications International Journal of Computer Vision Inverse Problems and Imaging Journal of Computational Mathematics Journal of Optimization Theory and Applications Mathematical Programming Neural Information Processing System Optimization Optimization Letters SIAM Journal on Matrix Analysis and Applications SIAM Journal on Optimization

Curriculum Vitae. Golomb Visiting Assistant Professor of Mathematics at Purdue University

Curriculum Vitae. Golomb Visiting Assistant Professor of Mathematics at Purdue University Dan Li Curriculum Vitae Contact Information Department of Mathematics, Purdue University 150 N. University Street, West Lafayette, IN, USA 47907-2067 Email: li1863@math.purdue.edu Phone: +1 (765) 494-1948